The last Dance : Robust backdoor attack via diffusion models and bayesian approach

Diffusion models are state-of-the-art deep learning generative models that are trained on the principle of learning forward and backward diffusion processes via the progressive addition of noise and denoising. In this paper, we seek to trick audio-based DNN models, such as those in the Hugging Face framework, for example, those that focus on audio, in particular transformer-based artificial intelligence models, which are powerful machine learning models that save time and deliver faster, more efficient results. We demonstrate the feasibility of …

art audio backdoor bayesian cs.ai cs.cr cs.lg dance deep learning denoising diffusion diffusion models dnn eess.sp face framework generative generative models hugging face noise paper processes robust state trick via